head to head · open source
vllm vs autoflow
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. autoflow has 2,978 stars, 193 forks, 74 open issues and last shipped 11 days ago. vllm leads on adoption by 3,129% (96,158 vs 2,978 stars). vllm is written in Python under Apache-2.0; autoflow is written in TypeScript under Apache-2.0. vllm has attracted 25% as many forks as stars, autoflow 6%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| vllm | autoflow | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 3.0K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-10-23 |
| Forks | ⑂ 24K | ⑂ 193 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 96K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick autoflow if
- You want the autoflow feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and autoflow fits your workflow better
About vllm
Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…
About autoflow
AutoFlow [!WARNING] Autoflow is still in the early stages of development. And we are actively working on it, the next move is to make it to a python package and make it a RAG solution e.g. pip install autoflow ai . If you have any questions or suggestions, please feel free to contact us on Discussion. Introduction AutoFlow is an open source graph rag (graphrag: knowledge graph rag) based knowledge base tool built on top of TiDB Vector and LlamaIndex and DSPy. Live Demo : Deployment Docs : Deployment Docs Features 1. Perplexity style Conversational Search page : Our platform features an advanced built in website…
read the full autoflow overview →
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Frequently asked questions
Is vllm or autoflow more popular?
vllm has 96,158 GitHub stars and autoflow has 2,978. vllm has the larger community by that measure.
Are vllm and autoflow free?
Both are open source. vllm is licensed under Apache-2.0 and autoflow under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and autoflow?
vllm is written in Python and autoflow in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, vllm or autoflow?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose autoflow if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.